augment_columns is intended for use in the internals of augment methods only and is exported for developers extending the broom package. Please instead use augment() to appropriately make use of the functionality in augment_columns().

augment_columns(
x,
data,
newdata = NULL,
type,
type.predict = type,
type.residuals = type,
se.fit = TRUE,
...
)

## Arguments

x a model original data onto which columns should be added new data to predict on, optional Type of prediction and residuals to compute Type of prediction to compute; by default same as type Type of residuals to compute; by default same as type Value to pass to predict's se.fit, or NULL for no value extra arguments (not used)

## Details

Note that, in the case that a residuals() or influence() generic is not implemented for the supplied model x, the function will fail quietly.